Tweet
Question: Thinking about elderly people who need some help in their everyday lives, such as help with grocery shopping, cleaning the house, doing the laundry etc. Who do you think should primarily provide this help?
Choices: "Family members" "Government agencies" "Non-profit organisations (e.g. charitable organisations, churches/religious organisations)" "Private providers of this kind of help"
Data: % of "Family members"
Period:
Area:
31 countries/ areas
Highlight:
1 Poland83.2%
2 Hungary75.5%
3 Mexico73.1%
4 Ireland68.4%
5 United States66.0%
6 Czech Republic64.9%
7 Chile64.4%
8 Latvia63.8%
9 Switzerland63.0%
10 Slovakia60.9%
11 Japan 60.3%
12 Canada59.3%
13 Portugal56.7%
14 Lithuania56.4%
15 Germany55.8%
16 United Kingdom54.1%
17 Austria53.6%
18 Australia51.6%
19 Slovenia49.7%
20 Spain49.0%
21 Belgium46.4%
22 Turkiye44.9%
23 Israel39.0%
24 Netherlands38.0%
25 Republic of Korea37.0%
26 France33.0%
27 Finland25.6%
28 Norway24.4%
29 Iceland18.0%
30 Sweden9.9%
31 Denmark7.2%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany.

No data for 7 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -1.575741 X +7.516
Correlation coefficient (r)-0.515
Coefficient of determination (R2)0.265

GDP per capita (current US$)
No. of data31
Regression equation
Y = -45665.519321 X +70550.103
Correlation coefficient (r)-0.343
Coefficient of determination (R2)0.118

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = -7.469934 X +84.271
Correlation coefficient (r)-0.511
Coefficient of determination (R2)0.261

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -0.099651 X +1.578
Correlation coefficient (r)-0.057
Coefficient of determination (R2)0.003

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = -0.996126 X +10.966
Correlation coefficient (r)-0.046
Coefficient of determination (R2)0.002